%0 Journal Article
%T Correlation between pneumonitis risk in radiation oncology and lung density measured with X-ray computed tomography
%A Abdulhamid Chaikh
%A Jacques Balosso
%J SCIE-indexed Journal
%D 2016
%X The quality of radiotherapy treatment plans in terms of probability of local control and the risk of toxicity can be evaluated using dose calculated metrics. Therefore, the knowledge of the relationship between the planned dose and the risk of toxicity is the essential information to validate the radiotherapy treatment plans. In this context, the estimation of the probability of developing radiation pneumonitis is a true concern for lung cancer treatment and very important information to protect the healthy tissues. The risk of toxicity limits the maximal radiation dose that can be delivered to thoracic tumors. The radiation pneumonitis, as a complication, occurs within the first 6 months after radiation therapy. Graduated symptoms can be observed as fever, dyspnea, cough and at the most, death from respiratory failure (1). Currently, there are several radiobiological models, based on mathematical and statistical concepts, to estimate the tumor control probability (TCP) as well as the normal tissue complication probability (NTCP) (2-9). Most theoretical models, that have been developed to estimate the benefits/risks balance, are based on physical dose distribution and the biological effect in normal tissue. However, the accuracy of the estimated TCP/NTCP depends on the accuracy of the assessment of the delivered dose as well as uncertainties related to the clinical data and dose calculation methods. The purpose of this paper is to evaluate and quantify the correlation between NTCP estimates and physical lung density. The NTCP was computed using dosimetric data derived from the patients¡¯ dose volume histograms (DVH) with Lyman model
%U http://qims.amegroups.com/article/view/11499/12019